Fusion of LANDSAT TM, NOAA/AVHRR and DEM data for generating daily high resolution maps of Land Surface Temperature in a semi-arid catchment.

Abstract : Vegetation and hydrological monitoring by using satellite images has become an important research field. Both high temporal frequency and detailed spatial information are essential for an effective interpretation of satellite images. In particular, we focus on land surface temperature Tsurf, required for estimating evapotranspiration; this paper addresses the problem of computing spatial maps of Tsurf with a good spatial resolution and a high temporal frequency. For this purpose, we define a coupling process between {LANDSAT TM, NOAA/AVHRR} and DEM data
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https://hal.inria.fr/inria-00532754
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Submitted on : Thursday, November 4, 2010 - 1:44:07 PM
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Fabien Lahoche, Isabelle Herlin. Fusion of LANDSAT TM, NOAA/AVHRR and DEM data for generating daily high resolution maps of Land Surface Temperature in a semi-arid catchment.. Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Jul 2001, Sydney, Australia. pp.700-702, ⟨10.1109/IGARSS.2001.976607⟩. ⟨inria-00532754⟩

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